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Learning Types

56,253 papers (3 classified directly here)

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)
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Papers (including subtopics)

Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation Models NeurIPS 2023 Bridging the Domain Gaps in Context Representations for k-Nearest Neighbor Neural Machine Translation ACL 2023 Bridging the Gap Between Model Explanations in Partially Annotated Multi-Label Classification CVPR 2023 Bridging the Gap between Native Text and Translated Text through Adversarial Learning: A Case Study on Cross-Lingual Event Extraction EACL 2023 Bridging the Gap to Real-World Object-Centric Learning ICLR 2023 BrightFlow: Brightness-Change-Aware Unsupervised Learning of Optical Flow WACV 2023 Bringing Inputs to Shared Domains for 3D Interacting Hands Recovery in the Wild CVPR 2023 Bringing regularized optimal transport to lightspeed: a splitting method adapted for GPUs NeurIPS 2023 Broken Neural Scaling Laws ICLR 2023 Brooke-English at SemEval-2023 Task 5: Clickbait Spoiling SemEval 2023 BUCA: A Binary Classification Approach to Unsupervised Commonsense Question Answering ACL 2023 Bugs in the Data: How ImageNet Misrepresents Biodiversity AAAI 2023 Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach ICCV 2023 Building Multi-domain Dialog State Trackers from Single-domain Dialogs EMNLP 2023 BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting NeurIPS 2023 BUMP: A Benchmark of Unfaithful Minimal Pairs for Meta-Evaluation of Faithfulness Metrics ACL 2023 Buying Information for Stochastic Optimization ICML 2023 BYOC: Personalized Few-Shot Classification with Co-Authored Class Descriptions EMNLP 2023 Bypassing the Simulator: Near-Optimal Adversarial Linear Contextual Bandits NeurIPS 2023 Bypass Temporal Classification: Weakly Supervised Automatic Speech Recognition with Imperfect Transcripts Interspeech 2023 Byte-Level Grammatical Error Correction Using Synthetic and Curated Corpora ACL 2023 Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting ICML 2023 Byzantine-Robust Online and Offline Distributed Reinforcement Learning AISTATS 2023 Byzantine-Tolerant Methods for Distributed Variational Inequalities NeurIPS 2023 C²A-SLU: Cross and Contrastive Attention for Improving ASR Robustness in Spoken Language Understanding Interspeech 2023